Index for smin

Sminchisescu, C.[Cristian] Co Author Listing * Home Page.
* email: Sminchisescu, C.[Cristian]: cristian sminchisescu AT ins uni-bonn de
* 3D Human Motion Analysis in Monocular Video Techniques and Challenges
* 3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism
* Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition
* BME : Discriminative Density Propagation for Visual Tracking
* Building Roadmaps of Local Minima of Visual Models
* Building Roadmaps of Minima and Transitions in Visual Models
* Canonical Skeletons for Shape Matching
* Chebyshev approximations to the histogram X^2 kernel
* Composite Statistical Inference for Semantic Segmentation
* Conditional models for contextual human motion recognition
* Conditional Random Fields for Contextual Human Motion Recognition
* Constrained parametric min-cuts for automatic object segmentation
* Covariance Scaled Sampling for Monocular 3D Body Tracking
* CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
* Deep Learning of Graph Matching
* Deep Multitask Architecture for Integrated 2D and 3D Human Sensing
* Deep Reinforcement Learning of Region Proposal Networks for Object Detection
* Discriminative Density Propagation for 3D Human Motion Estimation
* Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition
* Efficient Closed-Form Solution to Generalized Boundary Detection
* Fast algorithms for large scale conditional 3D prediction
* Fast mixing hyperdynamic sampling
* Fourier Kernel Learning
* Framework for Generic State Estimation in Computer Vision Applications, A
* Free-Form Region Description with Second-Order Pooling
* Generalized Boundaries from Multiple Image Interpretations
* Generalized darting Monte Carlo
* Human Appearance Transfer
* Human Pose Estimation from Silhouettes: A Consistent Approach Using Distance Level Sets
* Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
* Hyperdynamics Importance Sampling
* Image segmentation by figure-ground composition into maximal cliques
* Improving the Scope of Deformable Model Shape and Motion Estimation
* Incremental Model-Based Estimation Using Geometric Consistency Constraints
* Incremental Model-Based Estimation Using Geometric Constraints
* Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation
* Kinematic jump processes for monocular 3D human tracking
* Large Displacement 3D Scene Flow with Occlusion Reasoning
* Latent structured models for human pose estimation
* Learning Hierarchical Shape Models from Examples
* Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
* Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation
* Matrix Backpropagation for Deep Networks with Structured Layers
* Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints
* Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection, The
* Multiscale Symmetric Part Detection and Grouping
* Object recognition as ranking holistic figure-ground hypotheses
* Object Recognition by Sequential Figure-Ground Ranking
* Optimal Contour Closure by Superpixel Grouping
* Optimal Image and Video Closure by Superpixel Grouping
* Optimal inference for hierarchical skeleton abstraction
* Parametric Image Segmentation of Humans with Structural Shape Priors
* Perceptual Grouping Using Superpixels
* Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses
* Pictorial Human Spaces: How Well Do Humans Perceive a 3D Articulated Pose?
* Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition
* Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
* Reinforcement Learning for Visual Object Detection
* Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking, A
* Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images
* Selection and context for action recognition
* Semantic Segmentation with Second-Order Pooling
* Semantic Video Segmentation by Gated Recurrent Flow Propagation
* Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
* Semi-supervised learning and optimization for hypergraph matching
* Spatio-Temporal Attention Models for Grounded Video Captioning
* Spatiotemporal Closure
* Spectral Latent Variable Models for Perceptual Inference
* Structural SVM for visual localization and continuous state estimation
* Structured output-associative regression
* Support Kernel Machines for Object Recognition
* Training Deformable Models for Localization
* Twin Gaussian Processes for Structured Prediction
* Variational mixture smoothing for non-linear dynamical systems
* Video Object Segmentation by Salient Segment Chain Composition
Includes: Sminchisescu, C.[Cristian] Sminchisescu, C.
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